VEdge_Detector: automated coastal vegetation edge detection using a convolutional neural network-Reference-Cited by-同舟云学术

VEdge_Detector: automated coastal vegetation edge detection using a convolutional neural network

Published:2021-04-12 Issue:13 Volume:42 Page:4805-4835
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Rogers Martin S. J.¹,Bithell Mike¹,Brooks Susan M.²,Spencer Tom¹

Affiliation:

1. Cambridge Coastal Research Unit, Department of Geography, Cambridge University, Cambridge, UK

2. Department of Geography, Birkbeck, University of London, London, UK

Funder

the UKRI NERC/ESRC Data, Risk and Environmental Analytical Methods (DREAM) Centre for Doctorial Training

BLUECoast

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1897185

Reference57 articles.

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2. Arbelaez, P., C. Fowlkes, and M. Martin 2007. “The Berkeley Segmentation Dataset and Benchmark.” Available at: https://www2.eecs.berkeley.edu/ Accessed 13 January 2020

3. THE EFFICIENCY OF RANDOM FOREST METHOD FOR SHORELINE EXTRACTION FROM LANDSAT-8 AND GOKTURK-2 IMAGERIES

4. Shoreline Definition and Detection: A Review

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